Deducer 0.1 Released

Hi,

I tried to install Deducer on an Gentoo Linux AMD64 and received the
following error messages:
install.packages("Deducer",,"http://cran.r-project.org")
trying URL 'http://cran.r-project.org/src/contrib/Deducer_0.1-0.tar.gz'
Content type 'application/x-gzip' length 2123646 bytes (2.0 Mb)
opened URL
==================================================
downloaded 2.0 Mb

* Installing *source* package 'Deducer' ...
** R
** inst
** preparing package for lazy loading
Loading required package: proto
Loading required package: grid
Loading required package: reshape
Loading required package: plyr

Attaching package: 'ggplot2'


?? ? ? ?The following object(s) are masked from package:grid :

?? ? ? ? nullGrob

Error : package 'JGR' 1.7-0 was found, but < 1.7 is required by 'Deducer'
ERROR: lazy loading failed for package 'Deducer'
* Removing '/usr/lib64/R/library/Deducer'

The downloaded packages are in
?? ? ? ?'/tmp/RtmpWnRZ0y/downloaded_packages'
Updating HTML index of packages in '.Library'
Warning message:
In install.packages("Deducer", , "http://cran.r-project.org") :
??installation of package 'Deducer' had non-zero exit status

Jan Vandermeer


On Mon, Aug 3, 2009 at 2:21 PM, Ian Fellows <ifellows at ucsd.edu> wrote:
Hi All,

? I am seeking comments, suggestions, bugs, and users for a data analysis
GUI that has just been released to CRAN. One of the first areas that I think
that this GUI could be of use is in the classroom, so your comments would be
very valuable to me. An online manual is available (though under
construction) here:

http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerManual

? I'd appreciate any feedback or bugs. I'm particularly interested in
experiences using it from within non-JGR GUI's, and under Linux. If any of
you teach introductory/intermediate statistics, I'd like to know how you
would feel about using it in the classroom.

TIA,
Ian


p.s. Installation instructions:
install.packages("Deducer",,"http://cran.r-project.org")




---------------------------------------------------------------------------


Deducer 0.1 has been released to CRAN

Deducer is designed to be a free, easy to use, alternative to proprietary
software such as SPSS, JMP, and Minitab. It has a menu system to do common
data manipulation and data analysis tasks, and an excel-like spreadsheet in
which to view and edit data frames. The goal of the project is to two fold.

? ? ? ?1. Provide an intuitive interface so that non-technical users
? ? ? ? ? can learn and perform analyses without programming getting
? ? ? ? ? in their way.
? ? ? ?2. Increase the efficiency of expert R users when performing
? ? ? ? common tasks by replacing hundreds of keystrokes with a few
? ? ? ? mouse clicks. Also, as much as possible the GUI should not
? ? ? ? get in their way if they just want to do some programming.

Deducer is integrated into the Windows RGui, and the cross-platform Java
console JGR, and is also usable and accessible from the command line.
Screen shots and examples can be viewed in the online wiki manual:

http://www.deducer.org/pmwiki/pmwiki.php?n=Main.DeducerManual

Comments and questions are more than welcome. A discussion group has been
created for any questions or recommendations.

http://groups.google.com/group/deducer

Deducer Features:

Data manipulation:
? ? ? ?1. Factor editor
? ? ? ?2. Variable recoding
? ? ? ?3. data sorting
? ? ? ?4. data frame merging
? ? ? ?5. transposing a data frame
? ? ? ?6. subseting

Analysis:
? ? ? ?1. Frequencies
? ? ? ?2. Descriptives
? ? ? ?3. Contingency tables
? ? ? ? ? ? ? ?a. Nicely formatted tables with optional
? ? ? ? ? ? ? ? ? ? ? ?i. Percentages
? ? ? ? ? ? ? ? ? ? ? ?ii. Expected counts
? ? ? ? ? ? ? ? ? ? ? ?iii. Residuals
? ? ? ? ? ? ? ?b. Statistical tests
? ? ? ? ? ? ? ? ? ? ? ?i. chi-squared
? ? ? ? ? ? ? ? ? ? ? ?ii. likelihood ratio
? ? ? ? ? ? ? ? ? ? ? ?iii. fisher's exact
? ? ? ? ? ? ? ? ? ? ? ?iv. mantel haenszel
? ? ? ? ? ? ? ? ? ? ? ?v. kendall's tau
? ? ? ? ? ? ? ? ? ? ? ?vi. spearman's rho
? ? ? ? ? ? ? ? ? ? ? ?vii. kruskal-wallis
? ? ? ? ? ? ? ? ? ? ? ?viii. mid-p values for all exact/monte carlo tests
? ? ? ?4. One sample tests
? ? ? ? ? ? ? ?a. T-test
? ? ? ? ? ? ? ?b. Shapiro-wilk
? ? ? ? ? ? ? ?c. Histogram/box-plot summaries
? ? ? ?5. Two sample tests
? ? ? ? ? ? ? ?a. T-test (student and welch)
? ? ? ? ? ? ? ?b. Permutation test
? ? ? ? ? ? ? ?c. Wilcoxon
? ? ? ? ? ? ? ?d. Brunner-munzel
? ? ? ? ? ? ? ?e. Kolmogorov-smirnov
? ? ? ? ? ? ? ?f. Jitter/box-plot group comparison
? ? ? ?6. K-sample tests
? ? ? ? ? ? ? ?a. Anova (usual and welch)
? ? ? ? ? ? ? ?b. Kruskal-wallis
? ? ? ? ? ? ? ?c. Jitter/boxplot comparison
? ? ? ?7. Correlation
? ? ? ? ? ? ? ?a. Nicely formatted correlation matrices
? ? ? ? ? ? ? ?b. Pearson's
? ? ? ? ? ? ? ?c. Kendall's
? ? ? ? ? ? ? ?d. Spearman's
? ? ? ? ? ? ? ?e. Scatterplot paneled array
? ? ? ? ? ? ? ?f. Circle plot
? ? ? ? ? ? ? ?g. Full correlation matrix plot
? ? ? ?8.Generalized Linear Models
? ? ? ? ? ? ? ?a. Model preview
? ? ? ? ? ? ? ?b. Intuitive model builder
? ? ? ? ? ? ? ?c. diagnostic plots
? ? ? ? ? ? ? ?d. Component residual and added variable plots
? ? ? ? ? ? ? ?e. Anova (type II and III implementing LR, Wald and F tests)
? ? ? ? ? ? ? ?f. Parameter summary tables and parameter correlations
? ? ? ? ? ? ? ?g. Influence and colinearity diagnostics
? ? ? ? ? ? ? ?h. Post-hoc tests and confidence intervals
? ? ? ? ? ? ? ? ? with (or without) adjustments for multiple testing.
? ? ? ? ? ? ? ?i. Custom linear hypothesis tests
? ? ? ? ? ? ? ?j. Effect mean summaries (with confidence intervals), and
plots
? ? ? ? ? ? ? ?k. Exports: Residuals, Standardized residuals, Studentized
? ? ? ? ? ? ? ? ? residuals, Predicted Values (linear and link), Cooks
? ? ? ? ? ? ? ? ? distance, DFBETA, DFFITS, hat values, and Cov Ratio
? ? ? ? ? ? ? ?l. Observation weights and subseting
? ? ? ?9. Logistic Regression
? ? ? ? ? ? ? ?a. All GLM features
? ? ? ? ? ? ? ?b. ROC Plot
? ? ? ?10. Linear Model
? ? ? ? ? ? ? ?a. All GLM features
? ? ? ?b. Heteroskedastic robust tests

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